Papers
2
Total Citations
5
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2
About
Alice Tissot Garcia is a researcher at the intersection of assistive robotics and rehabilitation engineering, with a focused expertise in using RGB-D camera technology to analyze and monitor compensatory trunk movements during upper limb therapy. Her work addresses a critical challenge in neurorehabilitation: the tendency of patients to use improper trunk motions to compensate for impaired arm function, which can hinder recovery. Garcia’s major contributions include developing low-cost, wireless monitoring systems that integrate depth-sensing cameras to provide real-time, quantitative feedback on these compensatory patterns. Her 2020 papers, including "Use of RGB-D Camera for Analysis of Compensatory Trunk Movements in Upper Limbs Rehabilitation" and "Monitoring and Analysis of Compensatory Trunk Movements with RGB-D Camera and Wireless System for Rehabilitation of Upper Limbs," have garnered early citations, signaling growing interest in accessible, technology-driven therapeutic tools. By demonstrating that assistive robotics can surpass traditional therapeutic approaches in effectiveness, Garcia is helping to shape a future where precise, data-driven rehabilitation is more widely available. Her work is particularly notable for its potential to democratize advanced motion analysis, making it feasible for clinics with limited resources.
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